Recent deep learning models such as graph convolutional networks (GCN) [1]} are used for precipitation nowcasting [2]}. To handle areas with unavailable precipitation, Miao et al. [2]} convert all observation information into a graph structure and introduce a semisupervised graph convolutional network with a sequence connect architecture to learn the features of all local areas. In their model, different modalities of observation data (including both meteorological and non meteorological data) are modeled jointly.
